Automatic detection of translation errors represents one of the more promising applications of NLP techniques to this domain. This paper concentrates on one class of error, the inadvertent omission. To a greater extent than ‘false friends’, terminological inconsistency, etc., the detection of omissions raises problems both theoretical and practical in nature. These problems are discussed, and a...